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* [SQL]Extract the joinkeys from join conditionCheng Hao2014-06-263-49/+33
| | | | | | | | | | | | | Extract the join keys from equality conditions, that can be evaluated using equi-join. Author: Cheng Hao <hao.cheng@intel.com> Closes #1190 from chenghao-intel/extract_join_keys and squashes the following commits: 4a1060a [Cheng Hao] Fix some of the small issues ceb4924 [Cheng Hao] Remove the redundant pattern of join keys extraction cec34e8 [Cheng Hao] Update the code style issues dcc4584 [Cheng Hao] Extract the joinkeys from join condition
* [SPARK-2295] [SQL] Make JavaBeans nullability stricter.Takuya UESHIN2014-06-261-19/+18
| | | | | | | | Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #1235 from ueshin/issues/SPARK-2295 and squashes the following commits: 201c508 [Takuya UESHIN] Make JavaBeans nullability stricter.
* [SPARK-2254] [SQL] ScalaRefection should mark primitive types as non-nullable.Takuya UESHIN2014-06-252-31/+165
| | | | | | | | Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #1193 from ueshin/issues/SPARK-2254 and squashes the following commits: cfd6088 [Takuya UESHIN] Modify ScalaRefection.schemaFor method to return nullability of Scala Type.
* [SPARK-2283][SQL] Reset test environment before running PruningSuiteCheng Lian2014-06-251-0/+5
| | | | | | | | | | | | JIRA issue: [SPARK-2283](https://issues.apache.org/jira/browse/SPARK-2283) If `PruningSuite` is run right after `HiveCompatibilitySuite`, the first test case fails because `srcpart` table is cached in-memory by `HiveCompatibilitySuite`, but column pruning is not implemented for `InMemoryColumnarTableScan` operator yet. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1221 from liancheng/spark-2283 and squashes the following commits: dc0b663 [Cheng Lian] SPARK-2283: reset test environment before running PruningSuite
* [SQL] SPARK-1800 Add broadcast hash join operator & associated hints.Zongheng Yang2014-06-2515-233/+395
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR is based off Michael's [PR 734](https://github.com/apache/spark/pull/734) and includes a bunch of cleanups. Moreover, this PR also - makes `SparkLogicalPlan` take a `tableName: String`, which facilitates testing. - moves join-related tests to a single file. Author: Zongheng Yang <zongheng.y@gmail.com> Author: Michael Armbrust <michael@databricks.com> Closes #1163 from concretevitamin/auto-broadcast-hash-join and squashes the following commits: d0f4991 [Zongheng Yang] Fix bug in broadcast hash join & add test to cover it. af080d7 [Zongheng Yang] Fix in joinIterators()'s next(). 440d277 [Zongheng Yang] Fixes to imports; add back requiredChildDistribution (lost when merging) 208d5f6 [Zongheng Yang] Make LeftSemiJoinHash mix in HashJoin. ad6c7cc [Zongheng Yang] Minor cleanups. 814b3bf [Zongheng Yang] Merge branch 'master' into auto-broadcast-hash-join a8a093e [Zongheng Yang] Minor cleanups. 6fd8443 [Zongheng Yang] Cut down size estimation related stuff. a4267be [Zongheng Yang] Add test for broadcast hash join and related necessary refactorings: 0e64b08 [Zongheng Yang] Scalastyle fix. 91461c2 [Zongheng Yang] Merge branch 'master' into auto-broadcast-hash-join 7c7158b [Zongheng Yang] Prototype of auto conversion to broadcast hash join. 0ad122f [Zongheng Yang] Merge branch 'master' into auto-broadcast-hash-join 3e5d77c [Zongheng Yang] WIP: giant and messy WIP. a92ed0c [Michael Armbrust] Formatting. 76ca434 [Michael Armbrust] A simple strategy that broadcasts tables only when they are found in a configuration hint. cf6b381 [Michael Armbrust] Split out generic logic for hash joins and create two concrete physical operators: BroadcastHashJoin and ShuffledHashJoin. a8420ca [Michael Armbrust] Copy records in executeCollect to avoid issues with mutable rows.
* [BUGFIX][SQL] Should match java.math.BigDecimal when wnrapping Hive outputCheng Lian2014-06-251-4/+4
| | | | | | | | | | The `BigDecimal` branch in `unwrap` matches to `scala.math.BigDecimal` rather than `java.math.BigDecimal`. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1199 from liancheng/javaBigDecimal and squashes the following commits: e9bb481 [Cheng Lian] Should match java.math.BigDecimal when wnrapping Hive output
* [SPARK-2263][SQL] Support inserting MAP<K, V> to Hive tablesCheng Lian2014-06-253-6/+20
| | | | | | | | | | | | | JIRA issue: [SPARK-2263](https://issues.apache.org/jira/browse/SPARK-2263) Map objects were not converted to Hive types before inserting into Hive tables. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1205 from liancheng/spark-2263 and squashes the following commits: c7a4373 [Cheng Lian] Addressed @concretevitamin's comment 784940b [Cheng Lian] SARPK-2263: support inserting MAP<K, V> to Hive tables
* [SQL]Add base row updating methods for JoinedRowCheng Hao2014-06-241-0/+17
| | | | | | | | | | This will be helpful in join operators. Author: Cheng Hao <hao.cheng@intel.com> Closes #1187 from chenghao-intel/joinedRow and squashes the following commits: 87c19e3 [Cheng Hao] Add base row set methods for JoinedRow
* [SPARK-2264][SQL] Fix failing CachedTableSuiteMichael Armbrust2014-06-243-30/+29
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1201 from marmbrus/fixCacheTests and squashes the following commits: 9d87ed1 [Michael Armbrust] Use analyzer (which runs to fixed point) instead of manually removing analysis operators.
* HOTFIX: Disabling tests per SPARK-2264Patrick Wendell2014-06-241-5/+7
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* [SPARK-2124] Move aggregation into shuffle implementationsjerryshao2014-06-232-4/+4
| | | | | | | | | | | | | | | | | | This PR is a sub-task of SPARK-2044 to move the execution of aggregation into shuffle implementations. I leave `CoGoupedRDD` and `SubtractedRDD` unchanged because they have their implementations of aggregation. I'm not sure is it suitable to change these two RDDs. Also I do not move sort related code of `OrderedRDDFunctions` into shuffle, this will be solved in another sub-task. Author: jerryshao <saisai.shao@intel.com> Closes #1064 from jerryshao/SPARK-2124 and squashes the following commits: 4a05a40 [jerryshao] Modify according to comments 1f7dcc8 [jerryshao] Style changes 50a2fd6 [jerryshao] Fix test suite issue after moving aggregator to Shuffle reader and writer 1a96190 [jerryshao] Code modification related to the ShuffledRDD 308f635 [jerryshao] initial works of move combiner to ShuffleManager's reader and writer
* [SPARK-2227] Support dfs command in SQL.Reynold Xin2014-06-231-8/+6
| | | | | | | | | | | | Note that nothing gets printed to the console because we don't properly maintain session state right now. I will have a followup PR that fixes it. Author: Reynold Xin <rxin@apache.org> Closes #1167 from rxin/commands and squashes the following commits: 56f04f8 [Reynold Xin] [SPARK-2227] Support dfs command in SQL.
* [SPARK-1669][SQL] Made cacheTable idempotentCheng Lian2014-06-232-4/+29
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue: [SPARK-1669](https://issues.apache.org/jira/browse/SPARK-1669) Caching the same table multiple times should end up with only 1 in-memory columnar representation of this table. Before: ``` scala> loadTestTable("src") ... scala> cacheTable("src") ... scala> cacheTable("src") ... scala> table("src") ... == Query Plan == InMemoryColumnarTableScan [key#2,value#3], (InMemoryRelation [key#2,value#3], false, (InMemoryColumnarTableScan [key#2,value#3], (InMemoryRelation [key#2,value#3], false, (HiveTableScan [key#2,value#3], (MetastoreRelation default, src, None), None)))) ``` After: ``` scala> loadTestTable("src") ... scala> cacheTable("src") ... scala> cacheTable("src") ... scala> table("src") ... == Query Plan == InMemoryColumnarTableScan [key#2,value#3], (InMemoryRelation [key#2,value#3], false, (HiveTableScan [key#2,value#3], (MetastoreRelation default, src, None), None)) ``` Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1183 from liancheng/spark-1669 and squashes the following commits: 68f8a20 [Cheng Lian] Removed an unused import 51bae90 [Cheng Lian] Made cacheTable idempotent
* [SQL] Break hiveOperators.scala into multiple files.Reynold Xin2014-06-216-529/+610
| | | | | | | | | | The single file was getting very long (500+ loc). Author: Reynold Xin <rxin@apache.org> Closes #1166 from rxin/hiveOperators and squashes the following commits: 5b43068 [Reynold Xin] [SQL] Break hiveOperators.scala into multiple files.
* [SQL] Pass SQLContext instead of SparkContext into physical operators.Reynold Xin2014-06-207-44/+51
| | | | | | | | | | This makes it easier to use config options in operators. Author: Reynold Xin <rxin@apache.org> Closes #1164 from rxin/sqlcontext and squashes the following commits: 797b2fd [Reynold Xin] Pass SQLContext instead of SparkContext into physical operators.
* [SQL] Use hive.SessionState, not the thread local SessionStateAaron Davidson2014-06-201-1/+1
| | | | | | | | | | Note that this is simply mimicing lookupRelation(). I do not have a concrete notion of why this solution is necessarily right-er than SessionState.get, but SessionState.get is returning null, which is bad. Author: Aaron Davidson <aaron@databricks.com> Closes #1148 from aarondav/createtable and squashes the following commits: 37c3e7c [Aaron Davidson] [SQL] Use hive.SessionState, not the thread local SessionState
* Move ScriptTransformation into the appropriate place.Reynold Xin2014-06-201-0/+0
| | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1162 from rxin/script and squashes the following commits: 2c836b9 [Reynold Xin] Move ScriptTransformation into the appropriate place.
* [SPARK-2225] Turn HAVING without GROUP BY into WHERE.Reynold Xin2014-06-202-23/+11
| | | | | | | | | | @willb Author: Reynold Xin <rxin@apache.org> Closes #1161 from rxin/having-filter and squashes the following commits: fa8359a [Reynold Xin] [SPARK-2225] Turn HAVING without GROUP BY into WHERE.
* SPARK-2180: support HAVING clauses in Hive queriesWilliam Benton2014-06-202-6/+53
| | | | | | | | | | | | | | | This PR extends Spark's HiveQL support to handle HAVING clauses in aggregations. The HAVING test from the Hive compatibility suite doesn't appear to be runnable from within Spark, so I added a simple comparable test to `HiveQuerySuite`. Author: William Benton <willb@redhat.com> Closes #1136 from willb/SPARK-2180 and squashes the following commits: 3bbaf26 [William Benton] Added casts to HAVING expressions 83f1340 [William Benton] scalastyle fixes 18387f1 [William Benton] Add test for HAVING without GROUP BY b880bef [William Benton] Added semantic error for HAVING without GROUP BY 942428e [William Benton] Added test coverage for SPARK-2180. 56084cc [William Benton] Add support for HAVING clauses in Hive queries.
* [SPARK-2218] rename Equals to EqualTo in Spark SQL expressions.Reynold Xin2014-06-2011-40/+38
| | | | | | | | | | | | | | | | Due to the existence of scala.Equals, it is very error prone to name the expression Equals, especially because we use a lot of partial functions and pattern matching in the optimizer. Note that this sits on top of #1144. Author: Reynold Xin <rxin@apache.org> Closes #1146 from rxin/equals and squashes the following commits: f8583fd [Reynold Xin] Merge branch 'master' of github.com:apache/spark into equals 326b388 [Reynold Xin] Merge branch 'master' of github.com:apache/spark into equals bd19807 [Reynold Xin] Rename EqualsTo to EqualTo. 81148d1 [Reynold Xin] [SPARK-2218] rename Equals to EqualsTo in Spark SQL expressions. c4e543d [Reynold Xin] [SPARK-2210] boolean cast on boolean value should be removed.
* [SPARK-2196] [SQL] Fix nullability of CaseWhen.Takuya UESHIN2014-06-202-1/+46
| | | | | | | | | | | | `CaseWhen` should use `branches.length` to check if `elseValue` is provided or not. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #1133 from ueshin/issues/SPARK-2196 and squashes the following commits: 510f12d [Takuya UESHIN] Add some tests. dc25e8d [Takuya UESHIN] Fix nullable of CaseWhen to be nullable if the elseValue is nullable. 4f049cc [Takuya UESHIN] Fix nullability of CaseWhen.
* [SPARK-2209][SQL] Cast shouldn't do null check twice.Reynold Xin2014-06-201-115/+159
| | | | | | | | | | | Also took the chance to clean up cast a little bit. Too many arrows on each line before! Author: Reynold Xin <rxin@apache.org> Closes #1143 from rxin/cast and squashes the following commits: dd006cb [Reynold Xin] Code review feedback. c2b88ae [Reynold Xin] [SPARK-2209][SQL] Cast shouldn't do null check twice.
* [SPARK-2210] cast to boolean on boolean value gets turned into ↵Reynold Xin2014-06-192-2/+27
| | | | | | | | | | | | | | | | | | | | | | | | | | | NOT((boolean_condition) = 0) ``` explain select cast(cast(key=0 as boolean) as boolean) aaa from src ``` should be ``` [Physical execution plan:] [Project [(key#10:0 = 0) AS aaa#7]] [ HiveTableScan [key#10], (MetastoreRelation default, src, None), None] ``` However, it is currently ``` [Physical execution plan:] [Project [NOT((key#10=0) = 0) AS aaa#7]] [ HiveTableScan [key#10], (MetastoreRelation default, src, None), None] ``` Author: Reynold Xin <rxin@apache.org> Closes #1144 from rxin/booleancast and squashes the following commits: c4e543d [Reynold Xin] [SPARK-2210] boolean cast on boolean value should be removed.
* SPARK-1293 [SQL] Parquet support for nested typesAndre Schumacher2014-06-1914-384/+2102
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | It should be possible to import and export data stored in Parquet's columnar format that contains nested types. For example: ```java message AddressBook { required binary owner; optional group ownerPhoneNumbers { repeated binary array; } optional group contacts { repeated group array { required binary name; optional binary phoneNumber; } } optional group nameToApartmentNumber { repeated group map { required binary key; required int32 value; } } } ``` The example could model a type (AddressBook) that contains records made of strings (owner), lists (ownerPhoneNumbers) and a table of contacts (e.g., a list of pairs or a map that can contain null values but keys must not be null). The list of tasks are as follows: <h6>Implement support for converting nested Parquet types to Spark/Catalyst types:</h6> - [x] Structs - [x] Lists - [x] Maps (note: currently keys need to be Strings) <h6>Implement import (via ``parquetFile``) of nested Parquet types (first version in this PR)</h6> - [x] Initial version <h6>Implement export (via ``saveAsParquetFile``)</h6> - [x] Initial version <h6>Test support for AvroParquet, etc.</h6> - [x] Initial testing of import of avro-generated Parquet data (simple + nested) Example: ```scala val data = TestSQLContext .parquetFile("input.dir") .toSchemaRDD data.registerAsTable("data") sql("SELECT owner, contacts[1].name, nameToApartmentNumber['John'] FROM data").collect() ``` Author: Andre Schumacher <andre.schumacher@iki.fi> Author: Michael Armbrust <michael@databricks.com> Closes #360 from AndreSchumacher/nested_parquet and squashes the following commits: 30708c8 [Andre Schumacher] Taking out AvroParquet test for now to remove Avro dependency 95c1367 [Andre Schumacher] Changes to ParquetRelation and its metadata 7eceb67 [Andre Schumacher] Review feedback 94eea3a [Andre Schumacher] Scalastyle 403061f [Andre Schumacher] Fixing some issues with tests and schema metadata b8a8b9a [Andre Schumacher] More fixes to short and byte conversion 63d1b57 [Andre Schumacher] Cleaning up and Scalastyle 88e6bdb [Andre Schumacher] Attempting to fix loss of schema 37e0a0a [Andre Schumacher] Cleaning up 14c3fd8 [Andre Schumacher] Attempting to fix Spark-Parquet schema conversion 3e1456c [Michael Armbrust] WIP: Directly serialize catalyst attributes. f7aeba3 [Michael Armbrust] [SPARK-1982] Support for ByteType and ShortType. 3104886 [Michael Armbrust] Nested Rows should be Rows, not Seqs. 3c6b25f [Andre Schumacher] Trying to reduce no-op changes wrt master 31465d6 [Andre Schumacher] Scalastyle: fixing commented out bottom de02538 [Andre Schumacher] Cleaning up ParquetTestData 2f5a805 [Andre Schumacher] Removing stripMargin from test schemas 191bc0d [Andre Schumacher] Changing to Seq for ArrayType, refactoring SQLParser for nested field extension cbb5793 [Andre Schumacher] Code review feedback 32229c7 [Andre Schumacher] Removing Row nested values and placing by generic types 0ae9376 [Andre Schumacher] Doc strings and simplifying ParquetConverter.scala a6b4f05 [Andre Schumacher] Cleaning up ArrayConverter, moving classTag to NativeType, adding NativeRow 431f00f [Andre Schumacher] Fixing problems introduced during rebase c52ff2c [Andre Schumacher] Adding native-array converter 619c397 [Andre Schumacher] Completing Map testcase 79d81d5 [Andre Schumacher] Replacing field names for array and map in WriteSupport f466ff0 [Andre Schumacher] Added ParquetAvro tests and revised Array conversion adc1258 [Andre Schumacher] Optimizing imports e99cc51 [Andre Schumacher] Fixing nested WriteSupport and adding tests 1dc5ac9 [Andre Schumacher] First version of WriteSupport for nested types d1911dc [Andre Schumacher] Simplifying ArrayType conversion f777b4b [Andre Schumacher] Scalastyle 824500c [Andre Schumacher] Adding attribute resolution for MapType b539fde [Andre Schumacher] First commit for MapType a594aed [Andre Schumacher] Scalastyle 4e25fcb [Andre Schumacher] Adding resolution of complex ArrayTypes f8f8911 [Andre Schumacher] For primitive rows fall back to more efficient converter, code reorg 6dbc9b7 [Andre Schumacher] Fixing some problems intruduced during rebase b7fcc35 [Andre Schumacher] Documenting conversions, bugfix, wrappers of Rows ee70125 [Andre Schumacher] fixing one problem with arrayconverter 98219cf [Andre Schumacher] added struct converter 5d80461 [Andre Schumacher] fixing one problem with nested structs and breaking up files 1b1b3d6 [Andre Schumacher] Fixing one problem with nested arrays ddb40d2 [Andre Schumacher] Extending tests for nested Parquet data 745a42b [Andre Schumacher] Completing testcase for nested data (Addressbook( 6125c75 [Andre Schumacher] First working nested Parquet record input 4d4892a [Andre Schumacher] First commit nested Parquet read converters aa688fe [Andre Schumacher] Adding conversion of nested Parquet schemas
* [SPARK-2177][SQL] describe table result contains only one columnYin Huai2014-06-199-31/+294
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ``` scala> hql("describe src").collect().foreach(println) [key string None ] [value string None ] ``` The result should contain 3 columns instead of one. This screws up JDBC or even the downstream consumer of the Scala/Java/Python APIs. I am providing a workaround. We handle a subset of describe commands in Spark SQL, which are defined by ... ``` DESCRIBE [EXTENDED] [db_name.]table_name ``` All other cases are treated as Hive native commands. Also, if we upgrade Hive to 0.13, we need to check the results of context.sessionState.isHiveServerQuery() to determine how to split the result. This method is introduced by https://issues.apache.org/jira/browse/HIVE-4545. We may want to set Hive to use JsonMetaDataFormatter for the output of a DDL statement (`set hive.ddl.output.format=json` introduced by https://issues.apache.org/jira/browse/HIVE-2822). The link to JIRA: https://issues.apache.org/jira/browse/SPARK-2177 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1118 from yhuai/SPARK-2177 and squashes the following commits: fd2534c [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 b9b9aa5 [Yin Huai] rxin's comments. e7c4e72 [Yin Huai] Fix unit test. 656b068 [Yin Huai] 100 characters. 6387217 [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 8003cf3 [Yin Huai] Generate strings with the format like Hive for unit tests. 9787fff [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 440c5af [Yin Huai] rxin's comments. f1a417e [Yin Huai] Update doc. 83adb2f [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 366f891 [Yin Huai] Add describe command. 74bd1d4 [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 342fdf7 [Yin Huai] Split to up to 3 parts. 725e88c [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2177 bb8bbef [Yin Huai] Split every string in the result of a describe command.
* [SQL] Improve Speed of InsertIntoHiveTableMichael Armbrust2014-06-191-4/+10
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1130 from marmbrus/noFunctional and squashes the following commits: ccdb68c [Michael Armbrust] Remove functional programming and Array allocations from fast path in InsertIntoHiveTable.
* More minor scaladoc cleanup for Spark SQL.Reynold Xin2014-06-193-23/+21
| | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1142 from rxin/sqlclean and squashes the following commits: 67a789e [Reynold Xin] More minor scaladoc cleanup for Spark SQL.
* A few minor Spark SQL Scaladoc fixes.Reynold Xin2014-06-196-61/+57
| | | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1139 from rxin/sparksqldoc and squashes the following commits: c3049d8 [Reynold Xin] Fixed line length. 66dc72c [Reynold Xin] A few minor Spark SQL Scaladoc fixes.
* [SPARK-2191][SQL] Make sure InsertIntoHiveTable doesn't execute more than once.Michael Armbrust2014-06-192-1/+11
| | | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1129 from marmbrus/doubleCreateAs and squashes the following commits: 9c6d9e4 [Michael Armbrust] Fix typo. 5128fe2 [Michael Armbrust] Make sure InsertIntoHiveTable doesn't execute each time you ask for its result.
* [SPARK-2187] Explain should not run the optimizer twice.Reynold Xin2014-06-183-11/+15
| | | | | | | | | | | @yhuai @marmbrus @concretevitamin Author: Reynold Xin <rxin@apache.org> Closes #1123 from rxin/explain and squashes the following commits: def83b0 [Reynold Xin] Update unit tests for explain. a9d3ba8 [Reynold Xin] [SPARK-2187] Explain should not run the optimizer twice.
* [SPARK-2184][SQL] AddExchange isn't idempotentMichael Armbrust2014-06-183-6/+9
| | | | | | | | | | ...redPartitioning. Author: Michael Armbrust <michael@databricks.com> Closes #1122 from marmbrus/fixAddExchange and squashes the following commits: 3417537 [Michael Armbrust] Don't bind partitioning expressions as that breaks comparison with requiredPartitioning.
* [SPARK-2176][SQL] Extra unnecessary exchange operator in the result of an ↵Yin Huai2014-06-182-2/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | explain command ``` hql("explain select * from src group by key").collect().foreach(println) [ExplainCommand [plan#27:0]] [ Aggregate false, [key#25], [key#25,value#26]] [ Exchange (HashPartitioning [key#25:0], 200)] [ Exchange (HashPartitioning [key#25:0], 200)] [ Aggregate true, [key#25], [key#25]] [ HiveTableScan [key#25,value#26], (MetastoreRelation default, src, None), None] ``` There are two exchange operators. However, if we do not use explain... ``` hql("select * from src group by key") res4: org.apache.spark.sql.SchemaRDD = SchemaRDD[8] at RDD at SchemaRDD.scala:100 == Query Plan == Aggregate false, [key#8], [key#8,value#9] Exchange (HashPartitioning [key#8:0], 200) Aggregate true, [key#8], [key#8] HiveTableScan [key#8,value#9], (MetastoreRelation default, src, None), None ``` The plan is fine. The cause of this bug is explained below. When we create an `execution.ExplainCommand`, we use the `executedPlan` as the child of this `ExplainCommand`. But, this `executedPlan` is prepared for execution again when we generate the `executedPlan` for the `ExplainCommand`. Basically, `prepareForExecution` is called twice on a physical plan. Because after `prepareForExecution` we have already bounded those references (in `BoundReference`s), `AddExchange` cannot figure out we are using the same partitioning (we use `AttributeReference`s to create an `ExchangeOperator` and then those references will be changed to `BoundReference`s after `prepareForExecution` is called). So, an extra `ExchangeOperator` is inserted. I think in `CommandStrategy`, we should just use the `sparkPlan` (`sparkPlan` is the input of `prepareForExecution`) to initialize the `ExplainCommand` instead of using `executedPlan`. The link to JIRA: https://issues.apache.org/jira/browse/SPARK-2176 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1116 from yhuai/SPARK-2176 and squashes the following commits: 197c19c [Yin Huai] Use sparkPlan to initialize a Physical Explain Command instead of using executedPlan.
* [SPARK-2060][SQL] Querying JSON Datasets with SQL and DSL in Spark SQLYin Huai2014-06-1718-35/+1262
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-2060 Programming guide: http://yhuai.github.io/site/sql-programming-guide.html Scala doc of SQLContext: http://yhuai.github.io/site/api/scala/index.html#org.apache.spark.sql.SQLContext Author: Yin Huai <huai@cse.ohio-state.edu> Closes #999 from yhuai/newJson and squashes the following commits: 227e89e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ce8eedd [Yin Huai] rxin's comments. bc9ac51 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 94ffdaa [Yin Huai] Remove "get" from method names. ce31c81 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson e2773a6 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 79ea9ba [Yin Huai] Fix typos. 5428451 [Yin Huai] Newline 1f908ce [Yin Huai] Remove extra line. d7a005c [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 7ea750e [Yin Huai] marmbrus's comments. 6a5f5ef [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 83013fb [Yin Huai] Update Java Example. e7a6c19 [Yin Huai] SchemaRDD.javaToPython should convert a field with the StructType to a Map. 6d20b85 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4fbddf0 [Yin Huai] Programming guide. 9df8c5a [Yin Huai] Python API. 7027634 [Yin Huai] Java API. cff84cc [Yin Huai] Use a SchemaRDD for a JSON dataset. d0bd412 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ab810b0 [Yin Huai] Make JsonRDD private. 6df0891 [Yin Huai] Apache header. 8347f2e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 66f9e76 [Yin Huai] Update docs and use the entire dataset to infer the schema. 8ffed79 [Yin Huai] Update the example. a5a4b52 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4325475 [Yin Huai] If a sampled dataset is used for schema inferring, update the schema of the JsonTable after first execution. 65b87f0 [Yin Huai] Fix sampling... 8846af5 [Yin Huai] API doc. 52a2275 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 0387523 [Yin Huai] Address PR comments. 666b957 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson a2313a6 [Yin Huai] Address PR comments. f3ce176 [Yin Huai] After type conflict resolution, if a NullType is found, StringType is used. 0576406 [Yin Huai] Add Apache license header. af91b23 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson f45583b [Yin Huai] Infer the schema of a JSON dataset (a text file with one JSON object per line or a RDD[String] with one JSON object per string) and returns a SchemaRDD. f31065f [Yin Huai] A query plan or a SchemaRDD can print out its schema.
* [SPARK-2053][SQL] Add Catalyst expressions for CASE WHEN.Zongheng Yang2014-06-1715-8/+290
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA ticket: https://issues.apache.org/jira/browse/SPARK-2053 This PR adds support for two types of CASE statements present in Hive. The first type is of the form `CASE WHEN a THEN b [WHEN c THEN d]* [ELSE e] END`, with the semantics like a chain of if statements. The second type is of the form `CASE a WHEN b THEN c [WHEN d THEN e]* [ELSE f] END`, with the semantics like a switch statement on key `a`. Both forms are implemented in `CaseWhen`. [This link](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF#LanguageManualUDF-ConditionalFunctions) contains more detailed descriptions on their semantics. Notes / Open issues: * Please check if any implicit contracts / invariants are broken in the implementations (especially for the operators). I am not very familiar with them and I currently find them tricky to spot. * We should decide whether or not a non-boolean condition is allowed in a branch of `CaseWhen`. Hive throws a `SemanticException` for this situation and I think it'd be good to mimic it -- the question is where in the whole Spark SQL pipeline should we signal an exception for such a query. Author: Zongheng Yang <zongheng.y@gmail.com> Closes #1055 from concretevitamin/caseWhen and squashes the following commits: 4226eb9 [Zongheng Yang] Comment. 79d26fc [Zongheng Yang] Merge branch 'master' into caseWhen caf9383 [Zongheng Yang] Update a FIXME. 9d26ab8 [Zongheng Yang] Add @transient marker. 788a0d9 [Zongheng Yang] Implement CastNulls, which fixes udf_case and udf_when. 7ef284f [Zongheng Yang] Refactors: remove redundant passes, improve toString, mark transient. f47ae7b [Zongheng Yang] Modify queries in tests to have shorter golden files. 1c1fbfc [Zongheng Yang] Cleanups per review comments. 7d2b7e2 [Zongheng Yang] Translate CaseKeyWhen to CaseWhen at parsing time. 47d406a [Zongheng Yang] Do toArray once and lazily outside of eval(). bb3d109 [Zongheng Yang] Update scaladoc of a method. aea3195 [Zongheng Yang] Fix bug that branchesArr is not used; remove unused import. 96870a8 [Zongheng Yang] Turn off scalastyle for some comments. 7392f3a [Zongheng Yang] Minor cleanup. 2cf08bb [Zongheng Yang] Merge branch 'master' into caseWhen 9f84b40 [Zongheng Yang] Add golden outputs from Hive. db51a85 [Zongheng Yang] Add allCondBooleans check; uncomment tests. 3f9ef0a [Zongheng Yang] Cleanups and bug fixes (mainly in eval() and resolved). be54bc8 [Zongheng Yang] Rewrite eval() to a low-level implementation. Separate two CASE stmts. f2bcb9d [Zongheng Yang] WIP 5906f75 [Zongheng Yang] WIP efd019b [Zongheng Yang] eval() and toString() bug fixes. 7d81e95 [Zongheng Yang] Clean up resolved. a31d782 [Zongheng Yang] Finish up Case.
* [SPARK-2164][SQL] Allow Hive UDF on columns of type structXi Liu2014-06-173-0/+130
| | | | | | | | | | Author: Xi Liu <xil@conviva.com> Closes #796 from xiliu82/sqlbug and squashes the following commits: 328dfc4 [Xi Liu] [Spark SQL] remove a temporary function after test 354386a [Xi Liu] [Spark SQL] add test suite for UDF on struct 8fc6f51 [Xi Liu] [SparkSQL] allow UDF on struct
* Minor fix: made "EXPLAIN" output to play well with JDBC output formatCheng Lian2014-06-163-4/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Fixed the broken JDBC output. Test from Shark `beeline`: ``` beeline> !connect jdbc:hive2://localhost:10000/ scan complete in 2ms Connecting to jdbc:hive2://localhost:10000/ Enter username for jdbc:hive2://localhost:10000/: lian Enter password for jdbc:hive2://localhost:10000/: Connected to: Hive (version 0.12.0) Driver: Hive (version 0.12.0) Transaction isolation: TRANSACTION_REPEATABLE_READ 0: jdbc:hive2://localhost:10000/> 0: jdbc:hive2://localhost:10000/> explain select * from src; +-------------------------------------------------------------------------------+ | plan | +-------------------------------------------------------------------------------+ | ExplainCommand [plan#2:0] | | HiveTableScan [key#0,value#1], (MetastoreRelation default, src, None), None | +-------------------------------------------------------------------------------+ 2 rows selected (1.386 seconds) ``` Before this change, the output looked something like this: ``` +-------------------------------------------------------------------------------+ | plan | +-------------------------------------------------------------------------------+ | ExplainCommand [plan#2:0] HiveTableScan [key#0,value#1], (MetastoreRelation default, src, None), None | +-------------------------------------------------------------------------------+ ``` Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1097 from liancheng/multiLineExplain and squashes the following commits: eb37967 [Cheng Lian] Made output of "EXPLAIN" play well with JDBC output format
* [SQL][SPARK-2094] Follow up of PR #1071 for Java APICheng Lian2014-06-165-74/+124
| | | | | | | | | | | | Updated `JavaSQLContext` and `JavaHiveContext` similar to what we've done to `SQLContext` and `HiveContext` in PR #1071. Added corresponding test case for Spark SQL Java API. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1085 from liancheng/spark-2094-java and squashes the following commits: 29b8a51 [Cheng Lian] Avoided instantiating JavaSparkContext & JavaHiveContext to workaround test failure 92bb4fb [Cheng Lian] Marked test cases in JavaHiveQLSuite with "ignore" 22aec97 [Cheng Lian] Follow up of PR #1071 for Java API
* [SPARK-2010] Support for nested data in PySpark SQLKan Zhang2014-06-161-10/+19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue https://issues.apache.org/jira/browse/SPARK-2010 This PR adds support for nested collection types in PySpark SQL, including array, dict, list, set, and tuple. Example, ``` >>> from array import array >>> from pyspark.sql import SQLContext >>> sqlCtx = SQLContext(sc) >>> rdd = sc.parallelize([ ... {"f1" : array('i', [1, 2]), "f2" : {"row1" : 1.0}}, ... {"f1" : array('i', [2, 3]), "f2" : {"row2" : 2.0}}]) >>> srdd = sqlCtx.inferSchema(rdd) >>> srdd.collect() == [{"f1" : array('i', [1, 2]), "f2" : {"row1" : 1.0}}, ... {"f1" : array('i', [2, 3]), "f2" : {"row2" : 2.0}}] True >>> rdd = sc.parallelize([ ... {"f1" : [[1, 2], [2, 3]], "f2" : set([1, 2]), "f3" : (1, 2)}, ... {"f1" : [[2, 3], [3, 4]], "f2" : set([2, 3]), "f3" : (2, 3)}]) >>> srdd = sqlCtx.inferSchema(rdd) >>> srdd.collect() == \ ... [{"f1" : [[1, 2], [2, 3]], "f2" : set([1, 2]), "f3" : (1, 2)}, ... {"f1" : [[2, 3], [3, 4]], "f2" : set([2, 3]), "f3" : (2, 3)}] True ``` Author: Kan Zhang <kzhang@apache.org> Closes #1041 from kanzhang/SPARK-2010 and squashes the following commits: 1b2891d [Kan Zhang] [SPARK-2010] minor doc change and adding a TODO 504f27e [Kan Zhang] [SPARK-2010] Support for nested data in PySpark SQL
* [SQL] Support transforming TreeNodes with Option children.Michael Armbrust2014-06-152-1/+45
| | | | | | | | | | | | | | Thanks goes to @marmbrus for his implementation. Author: Michael Armbrust <michael@databricks.com> Author: Zongheng Yang <zongheng.y@gmail.com> Closes #1074 from concretevitamin/option-treenode and squashes the following commits: ef27b85 [Zongheng Yang] Merge pull request #1 from marmbrus/pr/1074 73133c2 [Michael Armbrust] TreeNodes can't be inner classes. ab78420 [Zongheng Yang] Add a test. 2ccb721 [Michael Armbrust] Add support for transformation of optional children.
* [SPARK-2079] Support batching when serializing SchemaRDD to PythonKan Zhang2014-06-141-7/+2
| | | | | | | | | | | Added batching with default batch size 10 in SchemaRDD.javaToPython Author: Kan Zhang <kzhang@apache.org> Closes #1023 from kanzhang/SPARK-2079 and squashes the following commits: 2d1915e [Kan Zhang] [SPARK-2079] Add batching in SchemaRDD.javaToPython 19b0c09 [Kan Zhang] [SPARK-2079] Removing unnecessary wrapping in SchemaRDD.javaToPython
* [Spark-2137][SQL] Timestamp UDFs brokenYin Huai2014-06-1319-2/+17
| | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-2137 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1081 from yhuai/SPARK-2137 and squashes the following commits: c04f910 [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2137 205f17b [Yin Huai] Make Hive UDF wrapper support Timestamp.
* [SPARK-2094][SQL] "Exactly once" semantics for DDL and command statementsCheng Lian2014-06-1315-167/+251
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ## Related JIRA issues - Main issue: - [SPARK-2094](https://issues.apache.org/jira/browse/SPARK-2094): Ensure exactly once semantics for DDL/Commands - Issues resolved as dependencies: - [SPARK-2081](https://issues.apache.org/jira/browse/SPARK-2081): Undefine output() from the abstract class Command and implement it in concrete subclasses - [SPARK-2128](https://issues.apache.org/jira/browse/SPARK-2128): No plan for DESCRIBE - [SPARK-1852](https://issues.apache.org/jira/browse/SPARK-1852): SparkSQL Queries with Sorts run before the user asks them to - Other related issue: - [SPARK-2129](https://issues.apache.org/jira/browse/SPARK-2129): NPE thrown while lookup a view Two test cases, `join_view` and `mergejoin_mixed`, within the `HiveCompatibilitySuite` are removed from the whitelist to workaround this issue. ## PR Overview This PR defines physical plans for DDL statements and commands and wraps their side effects in a lazy field `PhysicalCommand.sideEffectResult`, so that they are executed eagerly and exactly once. Also, as a positive side effect, now DDL statements and commands can be turned into proper `SchemaRDD`s and let user query the execution results. This PR defines schemas for the following DDL/commands: - EXPLAIN command - `plan`: String, the plan explanation - SET command - `key`: String, the key(s) of the propert(y/ies) being set or queried - `value`: String, the value(s) of the propert(y/ies) being queried - Other Hive native command - `result`: String, execution result returned by Hive **NOTE**: We should refine schemas for different native commands by defining physical plans for them in the future. ## Examples ### EXPLAIN command Take the "EXPLAIN" command as an example, we first execute the command and obtain a `SchemaRDD` at the same time, then query the `plan` field with the schema DSL: ``` scala> loadTestTable("src") ... scala> val q0 = hql("EXPLAIN SELECT key, COUNT(*) FROM src GROUP BY key") ... q0: org.apache.spark.sql.SchemaRDD = SchemaRDD[0] at RDD at SchemaRDD.scala:98 == Query Plan == ExplainCommandPhysical [plan#11:0] Aggregate false, [key#4], [key#4,SUM(PartialCount#6L) AS c_1#2L] Exchange (HashPartitioning [key#4:0], 200) Exchange (HashPartitioning [key#4:0], 200) Aggregate true, [key#4], [key#4,COUNT(1) AS PartialCount#6L] HiveTableScan [key#4], (MetastoreRelation default, src, None), None scala> q0.select('plan).collect() ... [ExplainCommandPhysical [plan#24:0] Aggregate false, [key#17], [key#17,SUM(PartialCount#19L) AS c_1#2L] Exchange (HashPartitioning [key#17:0], 200) Exchange (HashPartitioning [key#17:0], 200) Aggregate true, [key#17], [key#17,COUNT(1) AS PartialCount#19L] HiveTableScan [key#17], (MetastoreRelation default, src, None), None] scala> ``` ### SET command In this example we query all the properties set in `SQLConf`, register the result as a table, and then query the table with HiveQL: ``` scala> val q1 = hql("SET") ... q1: org.apache.spark.sql.SchemaRDD = SchemaRDD[7] at RDD at SchemaRDD.scala:98 == Query Plan == <SET command: executed by Hive, and noted by SQLContext> scala> q1.registerAsTable("properties") scala> hql("SELECT key, value FROM properties ORDER BY key LIMIT 10").foreach(println) ... == Query Plan == TakeOrdered 10, [key#51:0 ASC] Project [key#51:0,value#52:1] SetCommandPhysical None, None, [key#55:0,value#56:1]), which has no missing parents 14/06/12 12:19:27 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from Stage 5 (SchemaRDD[21] at RDD at SchemaRDD.scala:98 == Query Plan == TakeOrdered 10, [key#51:0 ASC] Project [key#51:0,value#52:1] SetCommandPhysical None, None, [key#55:0,value#56:1]) ... [datanucleus.autoCreateSchema,true] [datanucleus.autoStartMechanismMode,checked] [datanucleus.cache.level2,false] [datanucleus.cache.level2.type,none] [datanucleus.connectionPoolingType,BONECP] [datanucleus.fixedDatastore,false] [datanucleus.identifierFactory,datanucleus1] [datanucleus.plugin.pluginRegistryBundleCheck,LOG] [datanucleus.rdbms.useLegacyNativeValueStrategy,true] [datanucleus.storeManagerType,rdbms] scala> ``` ### "Exactly once" semantics At last, an example of the "exactly once" semantics: ``` scala> val q2 = hql("CREATE TABLE t1(key INT, value STRING)") ... q2: org.apache.spark.sql.SchemaRDD = SchemaRDD[28] at RDD at SchemaRDD.scala:98 == Query Plan == <Native command: executed by Hive> scala> table("t1") ... res9: org.apache.spark.sql.SchemaRDD = SchemaRDD[32] at RDD at SchemaRDD.scala:98 == Query Plan == HiveTableScan [key#58,value#59], (MetastoreRelation default, t1, None), None scala> q2.collect() ... res10: Array[org.apache.spark.sql.Row] = Array([]) scala> ``` As we can see, the "CREATE TABLE" command is executed eagerly right after the `SchemaRDD` is created, and referencing the `SchemaRDD` again won't trigger a duplicated execution. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1071 from liancheng/exactlyOnceCommand and squashes the following commits: d005b03 [Cheng Lian] Made "SET key=value" returns the newly set key value pair f6c7715 [Cheng Lian] Added test cases for DDL/command statement RDDs 1d00937 [Cheng Lian] Makes SchemaRDD DSLs work for DDL/command statement RDDs 5c7e680 [Cheng Lian] Bug fix: wrong type used in pattern matching 48aa2e5 [Cheng Lian] Refined SQLContext.emptyResult as an empty RDD[Row] cc64f32 [Cheng Lian] Renamed physical plan classes for DDL/commands 74789c1 [Cheng Lian] Fixed failing test cases 0ad343a [Cheng Lian] Added physical plan for DDL and commands to ensure the "exactly once" semantics
* [SPARK-1964][SQL] Add timestamp to HiveMetastoreTypes.toMetastoreTypeMichael Armbrust2014-06-131-0/+1
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1061 from marmbrus/timestamp and squashes the following commits: 79c3903 [Michael Armbrust] Add timestamp to HiveMetastoreTypes.toMetastoreType()
* [SPARK-2135][SQL] Use planner for in-memory scansMichael Armbrust2014-06-1210-35/+75
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1072 from marmbrus/cachedStars and squashes the following commits: 8757c8e [Michael Armbrust] Use planner for in-memory scans.
* [SPARK-2052] [SQL] Add optimization for CaseConversionExpression's.Takuya UESHIN2014-06-114-15/+174
| | | | | | | | | | | | | | | Add optimization for `CaseConversionExpression`'s. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #990 from ueshin/issues/SPARK-2052 and squashes the following commits: 2568666 [Takuya UESHIN] Move some rules back. dde7ede [Takuya UESHIN] Add tests to check if ConstantFolding can handle null literals and remove the unneeded rules from NullPropagation. c4eea67 [Takuya UESHIN] Fix toString methods. 23e2363 [Takuya UESHIN] Make CaseConversionExpressions foldable if the child is foldable. 0ff7568 [Takuya UESHIN] Add tests for collapsing case statements. 3977d80 [Takuya UESHIN] Add optimization for CaseConversionExpression's.
* HOTFIX: Forgot to remove false change in previous commitPatrick Wendell2014-06-111-1/+0
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* HOTFIX: PySpark tests should be order insensitive.Patrick Wendell2014-06-111-0/+1
| | | | | | | | | | | This has been messing up the SQL PySpark tests on Jenkins. Author: Patrick Wendell <pwendell@gmail.com> Closes #1054 from pwendell/pyspark and squashes the following commits: 1eb5487 [Patrick Wendell] False change 06f062d [Patrick Wendell] HOTFIX: PySpark tests should be order insensitive
* [SQL] Code Cleanup: Left Semi Hash JoinDaoyuan2014-06-1152-33/+374
| | | | | | | | | | | | | Some improvement for PR #837, add another case to white list and use `filter` to build result iterator. Author: Daoyuan <daoyuan.wang@intel.com> Closes #1049 from adrian-wang/clean-LeftSemiJoinHash and squashes the following commits: b314d5a [Daoyuan] change hashSet name 27579a9 [Daoyuan] add semijoin to white list and use filter to create new iterator in LeftSemiJoinBNL Signed-off-by: Michael Armbrust <michael@databricks.com>
* [SPARK-2042] Prevent unnecessary shuffle triggered by take()Sameer Agarwal2014-06-115-5/+97
| | | | | | | | | | | | | | This PR implements `take()` on a `SchemaRDD` by inserting a logical limit that is followed by a `collect()`. This is also accompanied by adding a catalyst optimizer rule for collapsing adjacent limits. Doing so prevents an unnecessary shuffle that is sometimes triggered by `take()`. Author: Sameer Agarwal <sameer@databricks.com> Closes #1048 from sameeragarwal/master and squashes the following commits: 3eeb848 [Sameer Agarwal] Fixing Tests 1b76ff1 [Sameer Agarwal] Deprecating limit(limitExpr: Expression) in v1.1.0 b723ac4 [Sameer Agarwal] Added limit folding tests a0ff7c4 [Sameer Agarwal] Adding catalyst rule to fold two consecutive limits 8d42d03 [Sameer Agarwal] Implement trigger() as limit() followed by collect()
* SPARK-2107: FilterPushdownSuite doesn't need Junit jar.Qiuzhuang.Lian2014-06-111-3/+0
| | | | | | | | Author: Qiuzhuang.Lian <Qiuzhuang.Lian@gmail.com> Closes #1046 from Qiuzhuang/master and squashes the following commits: 0a9921a [Qiuzhuang.Lian] SPARK-2107: FilterPushdownSuite doesn't need Junit jar.
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